Szu‐Wei Yang

13 papers receiving 477 citations

Peers

Szu‐Wei Yang
Comparison fields: 5 of 70
  • Management Science and Operations Research 382
  • Statistics and Probability 200
  • Control and Systems Engineering 153
  • Artificial Intelligence 162
  • Computational Theory and Mathematics 77
Replace Hsiang-Chuan Liu with:
Hsiang-Chuan Liu Taiwan
Kaihong Guo China
Tian-Wei Sheu Taiwan
Satish Kumar India
Surender Singh India
Gai-li Xu China
Manish Aggarwal India
Rajkumar Verma India
Cheng Chuntian China
Ruoning Xu China
Szu‐Wei Yang relative to Hsiang-Chuan Liu Taiwan Hsiang-Chuan Liu's profile →
Citations per field
00.5×1.5×
Hsiang-Chuan Liu · 1×
Citations per year

Countries citing papers authored by Szu‐Wei Yang

Since Specialization
Citations

This map shows the geographic impact of Szu‐Wei Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Szu‐Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szu‐Wei Yang more than expected).

Fields of papers citing papers by Szu‐Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu‐Wei Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Szu‐Wei Yang. The network helps show where Szu‐Wei Yang may publish in the future.

Co-authors

The 15 scholars most cited alongside Szu‐Wei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Szu‐Wei Yang Line = papers co-authored together Szu‐Wei Yang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011166
2 201299
3 201294
4 201249
5 200828
6 201216
7 201210
8 201210
9 20128
10 20135
11 20104
12 20201
13 20121
14 20080

About Szu‐Wei Yang

Szu‐Wei Yang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistics and Probability, having authored 14 papers that have together received 491 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Fuzzy Systems and Optimization (3 papers), Fuzzy Logic and Control Systems (2 papers), Remote-Sensing Image Classification (2 papers), Rough Sets and Fuzzy Logic (2 papers), Privacy, Security, and Data Protection (2 papers), Digital and Cyber Forensics (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Management Science and Operations Research (382 citations), Statistics and Probability (200 citations), Control and Systems Engineering (153 citations), Artificial Intelligence (162 citations) and Computational Theory and Mathematics (77 citations). Szu‐Wei Yang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Shyi‐Ming Chen, Li-Wei Lee, Tian-Wei Sheu, Hsiang-Chuan Liu, Churn‐Jung Liau, Jinn‐Min Yang, Bor‐Chen Kuo, Jong Hyuk Park, Yu‐Chuan Chang and Rung-Ching Chen. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications, Lecture notes in computer science, Security and Communication Networks and Lecture notes in electrical engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact